An Evidential and Context-Aware Recommendation Strategy to Enhance Interactions with Smart Spaces

Abstract

This work describes a novel strategy implementing a context-aware recommendation system. It has been conceived to offer an intelligent selection of micro-services used to orchestrate networks of smart objects taking into account users’ needs and preferences. The recommendation offering dynamically evolves depending on users’ micro-service management patterns and users’ context. The complete system has been designed within Dempster-Shafer evidential theory framework, ensuring uncertainty support both at context acquisition and at recommendation configuration level.